• DocumentCode
    1934992
  • Title

    Internal fingerprint acquisition from optical coherence tomography fingertip scans

  • Author

    Darlow, Luke Nicholas ; Akhoury, Sharat Saurabh ; Connan, James

  • Author_Institution
    Modelling & Digital Sci., Pretoria, South Africa
  • fYear
    2015
  • fDate
    3-5 Feb. 2015
  • Firstpage
    188
  • Lastpage
    191
  • Abstract
    Current surface fingerprint scanners measure the surface topography of skin, resulting in vulnerabilities to surface skin erosion, distortion due to contact with the scanner, and fingerprint counterfeiting. An improved means of fingerprint acquisition is necessitated in these facts. By employing an imaging technique known as Optical Coherence Tomography to the human fingertip skin, a three-dimensional digital reconstruction of subsurface layers of skin can be used for the extraction of an internal fingerprint. The internal fingerprint is robust towards counterfeiting, damage, and distortion, thus providing a replacement for the surface fingerprint. However, OCT scans are corrupted by speckle noise and have low contrast, resulting in a poor quality fingerprint representation. This research applies image enhancement procedures to OCT scan images to improve internal fingerprint quality. Furthermore, a novel internal fingerprint mapping technique is presented: papillary junction detection followed by defined region mapping. With a RMS-contrast improvement of 97%, this technique yields a much higher quality internal fingerprint when compared to previous techniques.
  • Keywords
    fingerprint identification; image denoising; image enhancement; image reconstruction; optical tomography; skin; Internal fingerprint acquisition; human fingertip skin; image enhancement; imaging technique; internal fingerprint; optical coherence tomography fingertip scans; papillary junction detection; skin subsurface layers; speckle noise; surface topography; three-dimensional digital reconstruction; Adaptive optics; Biomedical optical imaging; Coherence; Junctions; Optical imaging; Speckle; Tomography; Image denoising; Image enhancement; Image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Information, Networking, and Wireless Communications (DINWC), 2015 Third International Conference on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-1-4799-6375-1
  • Type

    conf

  • DOI
    10.1109/DINWC.2015.7054241
  • Filename
    7054241